1.
What is the ultimate goal of analyzing data in data science?
A
To create colourful charts.
B
To make better decisions.
C
To collect as much data as possible.
D
To write long reports.
2.
What does data collection involve?
A
Presenting data in charts
B
Gathering raw data from sources
C
Deleting data
D
Printing reports
3.
Which step converts raw data into useful information?
A
Data cleaning
B
Data analysis
C
Data storage
D
Data collection
4.
What does a pie chart mainly show?
A
Exact values
B
Parts of a whole
C
Trends
D
Relationships
5.
What does qualitative data describe?
A
Numbers only
B
Measurements
C
Qualities or characteristics
D
Calculations
6.
Which software is commonly used for basic data visualization?
A
Spreadsheet software
B
Operating system
C
Antivirus software
D
Compiler
7.
Which chart is commonly used to compare categories?
A
Line chart
B
Bar chart
C
Scatter plot
D
Histogram
8.
Which of these is a common type of chart used for data visualization?
A
A text document.
B
An audio file.
C
A computer program.
D
A bar chart.
9.
What is the final stage of the data science life cycle?
A
Data collection
B
Data cleaning
C
Decision making or deployment
D
Data visualization
10.
What does a bar chart display?
A
Trends over time
B
Categories and values
C
Geographic data
D
Random data
11.
Which visualization is best for showing frequency distribution?
A
Histogram
B
Pie chart
C
Line chart
D
Map
12.
What is the main goal of data analysis?
A
To design hardware
B
To find patterns and insights
C
To type documents
D
To send emails
13.
Which stage involves removing errors and inconsistencies from data?
A
Data collection
B
Data cleaning
C
Data visualization
D
Data storage
14.
Which of the following is an example of data?
A
Student marks list
B
Final report
C
Decision
D
Conclusion
15.
What kind of chart uses dots to show data points?
A
Bar chart
B
Line chart
C
Scatter plot
D
Pie chart
16.
What does 'data' mean in the context of data science?
A
Only pictures and videos.
B
A collection of facts, such as numbers, words, or measurements.
C
Only the software on a computer.
D
The physical parts of a computer like the mouse and keyboard.
17.
Why is data visualization important?
A
It increases storage size
B
It makes data easier to understand
C
It deletes duplicate data
D
It hides information
18.
What is the purpose of decision making in data science?
A
To collect more data
B
To take actions based on insights
C
To clean data
D
To visualize data
19.
What is Data Science?
A
The art of drawing pictures on a computer.
B
The process of building computer hardware.
C
The study of data to find useful information and patterns.
D
The process of creating animations and games.
20.
Which skill is essential for a data scientist?
A
Drawing skills
B
Statistical analysis
C
Hardware repair
D
Typing speed